Validation of Fuzzy Connectedness Segmentation for Jaw Tissues

Authors:
Roberto Lloréns;Valery Naranjo;Miriam Clemente;Mariano Alcañiz;Salvador Albalat
Affiliations:
LabHuman - Human Centered Technology, Universidad Politécnica de Valencia, Spain;LabHuman - Human Centered Technology, Universidad Politécnica de Valencia, Spain;LabHuman - Human Centered Technology, Universidad Politécnica de Valencia, Spain;LabHuman - Human Centered Technology, Universidad Politécnica de Valencia, Spain;LabHuman - Human Centered Technology, Universidad Politécnica de Valencia, Spain
Venue:
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Year:
2009

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Abstract

Most of the dental implant planning systems implement 3D reconstructions of the CT-data in order to achieve more intuitive interfaces. This way, the dentists or surgeons can handle the patient's virtual jaw in the space and plan the location, orientation and some other features of the implant from the orography and density of the jaw. The segmentation of the jaw tissues (the cortical bone, the trabecular core and the mandibular channel) is critical for this process, because each one has different properties and in addition, because an injury of the channel in the surgery may cause lip numbness. Current programs don't carry out the segmentation process or just do it by hard thresholding or by means of exhaustive human interaction. This paper deals with the validation of fuzzy connectedness theory for the automated, accurate and time efficient segmentation of jaw tissues.